Literature DB >> 1634134

Flow-cytometric DNA analysis of stages IB and IIA cervical carcinoma.

G M Zanetta1, J A Katzmann, G L Keeney, W K Kinney, S S Cha, K C Podratz.   

Abstract

The prognostic significance of flow-cytometric DNA analysis was assessed in 375 stages IB and IIA squamous cell carcinoma patients treated with radical hysterectomy and lymphadenectomy at the Mayo Clinic between 1956 and 1985. Paraffin-embedded samples containing at least 20% tumor were dewaxed, rehydrated, stained with propidium iodide, and analyzed. Among 344 assessable samples, 136 (40%) were diploid and 208 (60%) were nondiploid (26 tetraploid, 158 aneuploid, and 24 polyploid). Diploid cases were further subclassified: 25 high proliferative phase (HPP) (S+G2M greater than 20%) and 111 low proliferative phase. No significant correlation was noted between DNA diploid patterns and stage, tumor size, grade, or histotype, but HPP diploid tumors had a significantly higher risk of nodal metastasis. With a mean follow-up period of 150 months, 62 patients died of disease. No significant difference was observed in survival rates (SR) between diploid and nondiploid tumors, but the subset of HPP diploid tumors had a prognosis significantly worse than that of any other group (P less than 0.01). Other significant variables included nodal metastases, parametrial extension, age, and clinical stage. While ploidy patterns did not assign additional risk to node-positive lesions, HPP diploid tumors in node-negative patients were associated with a significantly lower SR. Multivariate analyses in node-negative patients demonstrated that stage, histologic subtype, and HPP diploid patterns retained prognostic independence.

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Year:  1992        PMID: 1634134     DOI: 10.1016/0090-8258(92)90188-o

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  2 in total

1.  DNA cell-cycle analysis of cervical cancer by flow cytometry using simultaneous cytokeratin labelling for identification of tumour cells.

Authors:  R Kimmig; T Kapsner; H Spelsberg; M Untch; H Hepp
Journal:  J Cancer Res Clin Oncol       Date:  1995       Impact factor: 4.553

2.  Prediction of radiotherapy response of cervical carcinoma through measurement of proliferation rate.

Authors:  B S Bolger; R P Symonds; P D Stanton; A B MacLean; R Burnett; P Kelly; T G Cooke
Journal:  Br J Cancer       Date:  1996-10       Impact factor: 7.640

  2 in total

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